A deep-learning estimate of the decadal trends in the Southern Ocean carbon storage
Uptake of atmospheric carbon by the ocean, especially at high latitudes, plays an important role in offsetting anthropogenic emissions. At the surface of the Southern Ocean south of 30(∘)S, the ocean carbon uptake, which had been weakening in 1990s, strengthened in the 2000s. However, sparseness of...
Published in: | Nature Communications |
---|---|
Main Authors: | , , , |
Format: | Text |
Language: | English |
Published: |
Nature Publishing Group UK
2022
|
Subjects: | |
Online Access: | http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279406/ http://www.ncbi.nlm.nih.gov/pubmed/35831323 https://doi.org/10.1038/s41467-022-31560-5 |
id |
ftpubmed:oai:pubmedcentral.nih.gov:9279406 |
---|---|
record_format |
openpolar |
spelling |
ftpubmed:oai:pubmedcentral.nih.gov:9279406 2023-05-15T18:24:25+02:00 A deep-learning estimate of the decadal trends in the Southern Ocean carbon storage Zemskova, Varvara E. He, Tai-Long Wan, Zirui Grisouard, Nicolas 2022-07-13 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279406/ http://www.ncbi.nlm.nih.gov/pubmed/35831323 https://doi.org/10.1038/s41467-022-31560-5 en eng Nature Publishing Group UK http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279406/ http://www.ncbi.nlm.nih.gov/pubmed/35831323 http://dx.doi.org/10.1038/s41467-022-31560-5 © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . CC-BY Nat Commun Article Text 2022 ftpubmed https://doi.org/10.1038/s41467-022-31560-5 2022-07-31T01:25:49Z Uptake of atmospheric carbon by the ocean, especially at high latitudes, plays an important role in offsetting anthropogenic emissions. At the surface of the Southern Ocean south of 30(∘)S, the ocean carbon uptake, which had been weakening in 1990s, strengthened in the 2000s. However, sparseness of in-situ measurements in the ocean interior make it difficult to compute changes in carbon storage below the surface. Here we develop a machine-learning model, which can estimate concentrations of dissolved inorganic carbon (DIC) in the Southern Ocean up to 4 km depth only using data available at the ocean surface. Our model is fast and computationally inexpensive. We apply it to calculate trends in DIC concentrations over the past three decades and find that DIC decreased in the 1990s and 2000s, but has increased, in particular in the upper ocean since the 2010s. However, the particular circulation dynamics that drove these changes may have differed across zonal sectors of the Southern Ocean. While the near-surface decrease in DIC concentrations would enhance atmospheric CO(2) uptake continuing the previously-found trends, weakened connectivity between surface and deep layers and build-up of DIC in deep waters could reduce the ocean’s carbon storage potential. Text Southern Ocean PubMed Central (PMC) Southern Ocean Nature Communications 13 1 |
institution |
Open Polar |
collection |
PubMed Central (PMC) |
op_collection_id |
ftpubmed |
language |
English |
topic |
Article |
spellingShingle |
Article Zemskova, Varvara E. He, Tai-Long Wan, Zirui Grisouard, Nicolas A deep-learning estimate of the decadal trends in the Southern Ocean carbon storage |
topic_facet |
Article |
description |
Uptake of atmospheric carbon by the ocean, especially at high latitudes, plays an important role in offsetting anthropogenic emissions. At the surface of the Southern Ocean south of 30(∘)S, the ocean carbon uptake, which had been weakening in 1990s, strengthened in the 2000s. However, sparseness of in-situ measurements in the ocean interior make it difficult to compute changes in carbon storage below the surface. Here we develop a machine-learning model, which can estimate concentrations of dissolved inorganic carbon (DIC) in the Southern Ocean up to 4 km depth only using data available at the ocean surface. Our model is fast and computationally inexpensive. We apply it to calculate trends in DIC concentrations over the past three decades and find that DIC decreased in the 1990s and 2000s, but has increased, in particular in the upper ocean since the 2010s. However, the particular circulation dynamics that drove these changes may have differed across zonal sectors of the Southern Ocean. While the near-surface decrease in DIC concentrations would enhance atmospheric CO(2) uptake continuing the previously-found trends, weakened connectivity between surface and deep layers and build-up of DIC in deep waters could reduce the ocean’s carbon storage potential. |
format |
Text |
author |
Zemskova, Varvara E. He, Tai-Long Wan, Zirui Grisouard, Nicolas |
author_facet |
Zemskova, Varvara E. He, Tai-Long Wan, Zirui Grisouard, Nicolas |
author_sort |
Zemskova, Varvara E. |
title |
A deep-learning estimate of the decadal trends in the Southern Ocean carbon storage |
title_short |
A deep-learning estimate of the decadal trends in the Southern Ocean carbon storage |
title_full |
A deep-learning estimate of the decadal trends in the Southern Ocean carbon storage |
title_fullStr |
A deep-learning estimate of the decadal trends in the Southern Ocean carbon storage |
title_full_unstemmed |
A deep-learning estimate of the decadal trends in the Southern Ocean carbon storage |
title_sort |
deep-learning estimate of the decadal trends in the southern ocean carbon storage |
publisher |
Nature Publishing Group UK |
publishDate |
2022 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279406/ http://www.ncbi.nlm.nih.gov/pubmed/35831323 https://doi.org/10.1038/s41467-022-31560-5 |
geographic |
Southern Ocean |
geographic_facet |
Southern Ocean |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_source |
Nat Commun |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279406/ http://www.ncbi.nlm.nih.gov/pubmed/35831323 http://dx.doi.org/10.1038/s41467-022-31560-5 |
op_rights |
© The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1038/s41467-022-31560-5 |
container_title |
Nature Communications |
container_volume |
13 |
container_issue |
1 |
_version_ |
1766204922063224832 |